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MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception
DescriptionAdvanced driver assistance systems require a comprehensive understanding of the driver’s mental and physical states as well as the surrounding traffic context. However, existing studies often overlook the advantages of jointly learning these related tasks. To address this gap, we propose MMTL-UniAD, a unified multimodal multi-task learning framework that simultaneously recognizes driver behavior, driver emotion, vehicle behavior, and traffic context, enabling more holistic and intelligent driving assistance.